Senior AI Systems Engineer - Multi-Agent Python on Bedrock

GlobalLogic; Municipio de Rincón de los Sauces; Presencial; ARS 1.800.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Family medical insurance

Paternity leave

Annual performance bonuses

Referral bonuses

Descripción de la vacante

GlobalLogic in Argentina seeks an AI Systems Engineer to design and deploy production-grade agentic AI systems powering intelligent automation for diverse clients. You will work with LangGraph, LangChain, and MCP, integrating LLMs with client data ecosystems on AWS Bedrock and other cloud services.

You’ll own end-to-end pipelines, build FastAPI services, and collaborate with CS, Sales, and Product teams to translate business needs into robust, scalable agentic architectures.

Formación

• Hands-on experience building and shipping agentic AI systems.
• Proficiency in Python and modern AI engineering stack.
• Experience with LangGraph, LangChain, AgentCore, or similar.
• Experience integrating LLMs via AWS Bedrock or similar.
• Experience connecting data platforms (Snowflake, Iceberg, OpenSearch).
• Familiarity with MCP or similar governance patterns.
• REST API development with FastAPI or similar.
• Hands-on AWS experience including IAM, Lambda, API Gateway.

Responsabilidades

• Build multi-agent pipelines with routing, evaluation, and memory.
• Develop prompt pipelines, tool-augmented agents, and retrieval workflows.
• Deploy LLM-powered agents on AWS Bedrock at scale.
• Create production FastAPI services exposing agent capabilities.
• Iterate rapidly based on usage signals and feedback.
• Collaborate with Customer Success, Sales, Analytics to translate requirements.

Conocimientos

Python

Agentic frameworks

LLM integration

Data source integration

API development

Cloud platforms

Communication

Herramientas

LangGraph

LangChain

AgentCore

MCP

FastAPI

AWS Bedrock

OpenSearch

Qlik Cloud Analytics

Descripción del empleo

GlobalLogic in Argentina seeks an AI Systems Engineer to design and deploy production-grade agentic AI systems powering intelligent automation for diverse clients. You will work with LangGraph, LangChain, and MCP, integrating LLMs with client data ecosystems on AWS Bedrock and other cloud services.

You’ll own end-to-end pipelines, build FastAPI services, and collaborate with CS, Sales, and Product teams to translate business needs into robust, scalable agentic architectures.